Dataset statistics
| Number of variables | 30 |
|---|---|
| Number of observations | 233417 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 53.6 MiB |
| Average record size in memory | 241.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 21 |
model_name has a high cardinality: 1143 distinct values | High cardinality |
df_index is highly correlated with price and 1 other fields | High correlation |
engine_displacement is highly correlated with engine_power | High correlation |
mileage is highly correlated with model_date and 7 other fields | High correlation |
model_date is highly correlated with mileage and 6 other fields | High correlation |
year is highly correlated with mileage and 6 other fields | High correlation |
owners is highly correlated with mileage and 6 other fields | High correlation |
price is highly correlated with df_index and 8 other fields | High correlation |
data_type is highly correlated with df_index and 1 other fields | High correlation |
state_new is highly correlated with mileage and 6 other fields | High correlation |
engine_power is highly correlated with engine_displacement and 1 other fields | High correlation |
warranty is highly correlated with mileage and 7 other fields | High correlation |
new_car is highly correlated with mileage and 6 other fields | High correlation |
mil_per_year is highly correlated with mileage and 2 other fields | High correlation |
df_index is highly correlated with data_type | High correlation |
engine_displacement is highly correlated with engine_power | High correlation |
mileage is highly correlated with model_date and 6 other fields | High correlation |
model_date is highly correlated with mileage and 5 other fields | High correlation |
year is highly correlated with mileage and 6 other fields | High correlation |
owners is highly correlated with mileage and 6 other fields | High correlation |
price is highly correlated with year and 4 other fields | High correlation |
data_type is highly correlated with df_index | High correlation |
state_new is highly correlated with mileage and 6 other fields | High correlation |
engine_power is highly correlated with engine_displacement and 1 other fields | High correlation |
warranty is highly correlated with mileage and 8 other fields | High correlation |
old_car is highly correlated with model_date and 1 other fields | High correlation |
new_car is highly correlated with mileage and 6 other fields | High correlation |
description_count is highly correlated with owners and 2 other fields | High correlation |
mil_per_year is highly correlated with mileage and 2 other fields | High correlation |
df_index is highly correlated with data_type | High correlation |
engine_displacement is highly correlated with engine_power | High correlation |
mileage is highly correlated with model_date and 6 other fields | High correlation |
model_date is highly correlated with mileage and 5 other fields | High correlation |
year is highly correlated with mileage and 6 other fields | High correlation |
owners is highly correlated with mileage and 5 other fields | High correlation |
price is highly correlated with model_date and 2 other fields | High correlation |
data_type is highly correlated with df_index and 1 other fields | High correlation |
state_new is highly correlated with mileage and 5 other fields | High correlation |
engine_power is highly correlated with engine_displacement | High correlation |
warranty is highly correlated with mileage and 5 other fields | High correlation |
new_car is highly correlated with mileage and 5 other fields | High correlation |
mil_per_year is highly correlated with mileage and 1 other fields | High correlation |
drivetrain is highly correlated with body_type | High correlation |
popular_body is highly correlated with body_type | High correlation |
transmission is highly correlated with brand | High correlation |
brand is highly correlated with transmission and 1 other fields | High correlation |
condition_good is highly correlated with brand and 1 other fields | High correlation |
body_type is highly correlated with drivetrain and 2 other fields | High correlation |
new_car is highly correlated with state_new and 2 other fields | High correlation |
color_top5 is highly correlated with color | High correlation |
state_new is highly correlated with new_car and 2 other fields | High correlation |
owners is highly correlated with new_car and 2 other fields | High correlation |
color is highly correlated with color_top5 and 1 other fields | High correlation |
color_rare is highly correlated with color | High correlation |
number_of_doors is highly correlated with body_type | High correlation |
warranty is highly correlated with new_car and 2 other fields | High correlation |
data_type is highly correlated with condition_good | High correlation |
df_index is highly correlated with brand and 2 other fields | High correlation |
body_type is highly correlated with brand and 3 other fields | High correlation |
brand is highly correlated with df_index and 7 other fields | High correlation |
color is highly correlated with color_top5 and 1 other fields | High correlation |
mileage is highly correlated with model_date and 5 other fields | High correlation |
model_date is highly correlated with mileage and 6 other fields | High correlation |
number_of_doors is highly correlated with body_type and 1 other fields | High correlation |
year is highly correlated with model_date and 2 other fields | High correlation |
transmission is highly correlated with brand and 1 other fields | High correlation |
owners is highly correlated with mileage and 6 other fields | High correlation |
vehicle_licence_original is highly correlated with owners | High correlation |
drivetrain is highly correlated with body_type and 2 other fields | High correlation |
condition_good is highly correlated with df_index and 2 other fields | High correlation |
data_type is highly correlated with df_index and 2 other fields | High correlation |
state_new is highly correlated with mileage and 4 other fields | High correlation |
engine_power is highly correlated with brand and 2 other fields | High correlation |
warranty is highly correlated with mileage and 5 other fields | High correlation |
popular_body is highly correlated with body_type and 2 other fields | High correlation |
rarity_car is highly correlated with model_date and 1 other fields | High correlation |
old_car is highly correlated with mileage and 2 other fields | High correlation |
new_car is highly correlated with mileage and 4 other fields | High correlation |
color_top5 is highly correlated with color | High correlation |
color_rare is highly correlated with color | High correlation |
description_count is highly correlated with owners and 2 other fields | High correlation |
engine_displacement is highly skewed (γ1 = 109.9737064) | Skewed |
df_index has unique values | Unique |
mileage has 34721 (14.9%) zeros | Zeros |
price has 34686 (14.9%) zeros | Zeros |
description_count has 3307 (1.4%) zeros | Zeros |
mil_per_year has 34743 (14.9%) zeros | Zeros |
Reproduction
| Analysis started | 2022-01-30 11:33:08.926434 |
|---|---|
| Analysis finished | 2022-01-30 11:34:19.083914 |
| Duration | 1 minute and 10.16 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 233417 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 120264.5439 |
| Minimum | 0 |
|---|---|
| Maximum | 254262 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11670.8 |
| Q1 | 58455 |
| median | 117096 |
| Q3 | 180518 |
| 95-th percentile | 238989.2 |
| Maximum | 254262 |
| Range | 254262 |
| Interquartile range (IQR) | 122063 |
Descriptive statistics
| Standard deviation | 71961.12092 |
|---|---|
| Coefficient of variation (CV) | 0.5983569104 |
| Kurtosis | -1.132639057 |
| Mean | 120264.5439 |
| Median Absolute Deviation (MAD) | 60767 |
| Skewness | 0.1185311248 |
| Sum | 2.807178904 × 1010 |
| Variance | 5178402923 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 128404 | 1 | < 0.1% |
| 165114 | 1 | < 0.1% |
| 167163 | 1 | < 0.1% |
| 177404 | 1 | < 0.1% |
| 179453 | 1 | < 0.1% |
| 173310 | 1 | < 0.1% |
| 175359 | 1 | < 0.1% |
| 87424 | 1 | < 0.1% |
| 89473 | 1 | < 0.1% |
| Other values (233407) | 233407 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 254262 | 1 | |
| 254261 | 1 | |
| 254260 | 1 | |
| 254259 | 1 | |
| 254258 | 1 | |
| 254257 | 1 | |
| 254256 | 1 | |
| 254255 | 1 | |
| 254254 | 1 | |
| 254253 | 1 |
| Distinct | 16 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| внедорожник | |
|---|---|
| седан | |
| хэтчбек | |
| лифтбек | |
| минивэн | 6993 |
| Other values (11) |
Length
| Max length | 11 |
|---|---|
| Median length | 7 |
| Mean length | 8.20696436 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | лифтбек |
|---|---|
| 2nd row | лифтбек |
| 3rd row | лифтбек |
| 4th row | лифтбек |
| 5th row | лифтбек |
Common Values
| Value | Count | Frequency (%) |
| внедорожник | 105677 | |
| седан | 72691 | |
| хэтчбек | 17259 | 7.4% |
| лифтбек | 11836 | 5.1% |
| минивэн | 6993 | 3.0% |
| универсал | 6261 | 2.7% |
| купе | 5196 | 2.2% |
| компактвэн | 3922 | 1.7% |
| пикап | 2164 | 0.9% |
| фургон | 691 | 0.3% |
| Other values (6) | 727 | 0.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| внедорожник | 105677 | |
| седан | 72691 | |
| хэтчбек | 17259 | 7.4% |
| лифтбек | 11836 | 5.1% |
| минивэн | 6993 | 3.0% |
| универсал | 6261 | 2.7% |
| купе | 5196 | 2.2% |
| компактвэн | 3922 | 1.7% |
| пикап | 2164 | 0.9% |
| фургон | 691 | 0.3% |
| Other values (6) | 727 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 36 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| mercedes | |
|---|---|
| bmw | |
| toyota | |
| volkswagen | |
| nissan | |
| Other values (31) |
Length
| Max length | 10 |
|---|---|
| Median length | 6 |
| Mean length | 6.304318023 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | skoda |
|---|---|
| 2nd row | skoda |
| 3rd row | skoda |
| 4th row | skoda |
| 5th row | skoda |
Common Values
| Value | Count | Frequency (%) |
| mercedes | 26750 | |
| bmw | 25581 | |
| toyota | 24832 | |
| volkswagen | 24379 | |
| nissan | 23606 | |
| audi | 17474 | 7.5% |
| mitsubishi | 15042 | 6.4% |
| skoda | 13777 | 5.9% |
| volvo | 6925 | 3.0% |
| honda | 6652 | 2.8% |
| Other values (26) | 48399 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| mercedes | 26750 | |
| bmw | 25581 | |
| toyota | 24832 | |
| volkswagen | 24379 | |
| nissan | 23606 | |
| audi | 17474 | 7.5% |
| mitsubishi | 15042 | 6.4% |
| skoda | 13777 | 5.9% |
| volvo | 6925 | 3.0% |
| honda | 6652 | 2.8% |
| Other values (26) | 48399 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 16 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| чёрный | |
|---|---|
| белый | |
| серый | |
| серебристый | |
| синий | |
| Other values (11) |
Length
| Max length | 11 |
|---|---|
| Median length | 6 |
| Mean length | 6.396260769 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | синий |
|---|---|
| 2nd row | чёрный |
| 3rd row | серый |
| 4th row | коричневый |
| 5th row | белый |
Common Values
| Value | Count | Frequency (%) |
| чёрный | 70704 | |
| белый | 49106 | |
| серый | 29413 | |
| серебристый | 23361 | 10.0% |
| синий | 21831 | 9.4% |
| красный | 10806 | 4.6% |
| коричневый | 8864 | 3.8% |
| зелёный | 5570 | 2.4% |
| бежевый | 4923 | 2.1% |
| голубой | 3090 | 1.3% |
| Other values (6) | 5749 | 2.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| чёрный | 70704 | |
| белый | 49106 | |
| серый | 29413 | |
| серебристый | 23361 | 10.0% |
| синий | 21831 | 9.4% |
| красный | 10806 | 4.6% |
| коричневый | 8864 | 3.8% |
| зелёный | 5570 | 2.4% |
| бежевый | 4923 | 2.1% |
| голубой | 3090 | 1.3% |
| Other values (6) | 5749 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 70 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.357599918 |
| Minimum | 0 |
|---|---|
| Maximum | 300 |
| Zeros | 261 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.4 |
| Q1 | 1.6 |
| median | 2 |
| Q3 | 2.9 |
| 95-th percentile | 4.4 |
| Maximum | 300 |
| Range | 300 |
| Interquartile range (IQR) | 1.3 |
Descriptive statistics
| Standard deviation | 1.27350499 |
|---|---|
| Coefficient of variation (CV) | 0.5401701028 |
| Kurtosis | 25566.05973 |
| Mean | 2.357599918 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 109.9737064 |
| Sum | 550303.9 |
| Variance | 1.62181496 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 60172 | |
| 1.6 | 34804 | |
| 3 | 24842 | |
| 2.5 | 17544 | 7.5% |
| 1.8 | 13099 | 5.6% |
| 1.4 | 12963 | 5.6% |
| 2.4 | 9917 | 4.2% |
| 3.5 | 8477 | 3.6% |
| 1.5 | 5209 | 2.2% |
| 2.9 | 3314 | 1.4% |
| Other values (60) | 43076 |
| Value | Count | Frequency (%) |
| 0 | 261 | 0.1% |
| 0.7 | 573 | 0.2% |
| 0.8 | 364 | 0.2% |
| 1 | 756 | 0.3% |
| 1.1 | 77 | < 0.1% |
| 1.2 | 2443 | 1.0% |
| 1.3 | 2311 | 1.0% |
| 1.4 | 12963 | 5.6% |
| 1.5 | 5209 | 2.2% |
| 1.6 | 34804 |
| Value | Count | Frequency (%) |
| 300 | 2 | < 0.1% |
| 16 | 2 | < 0.1% |
| 8.4 | 1 | < 0.1% |
| 8.2 | 1 | < 0.1% |
| 8.1 | 1 | < 0.1% |
| 7.5 | 1 | < 0.1% |
| 7.4 | 1 | < 0.1% |
| 7.3 | 1 | < 0.1% |
| 7 | 3 | |
| 6.8 | 6 |
engine_type
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| gasoline | |
|---|---|
| diesel | |
| hybrid | 1502 |
| electro | 265 |
| lpg | 19 |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 7.605247261 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | gasoline |
|---|---|
| 2nd row | gasoline |
| 3rd row | gasoline |
| 4th row | gasoline |
| 5th row | gasoline |
Common Values
| Value | Count | Frequency (%) |
| gasoline | 187242 | |
| diesel | 44389 | 19.0% |
| hybrid | 1502 | 0.6% |
| electro | 265 | 0.1% |
| lpg | 19 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| gasoline | 187242 | |
| diesel | 44389 | 19.0% |
| hybrid | 1502 | 0.6% |
| electro | 265 | 0.1% |
| lpg | 19 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 35352 |
|---|---|
| Distinct (%) | 15.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 120059.4554 |
| Minimum | 0 |
|---|---|
| Maximum | 1000000 |
| Zeros | 34721 |
| Zeros (%) | 14.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 38000 |
| median | 112000 |
| Q3 | 177799 |
| 95-th percentile | 300000 |
| Maximum | 1000000 |
| Range | 1000000 |
| Interquartile range (IQR) | 139799 |
Descriptive statistics
| Standard deviation | 99448.91144 |
|---|---|
| Coefficient of variation (CV) | 0.8283305228 |
| Kurtosis | 2.962147227 |
| Mean | 120059.4554 |
| Median Absolute Deviation (MAD) | 68390 |
| Skewness | 1.100667999 |
| Sum | 2.802391789 × 1010 |
| Variance | 9890085986 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 34721 | 14.9% |
| 200000 | 2032 | 0.9% |
| 180000 | 1959 | 0.8% |
| 250000 | 1769 | 0.8% |
| 150000 | 1764 | 0.8% |
| 160000 | 1557 | 0.7% |
| 300000 | 1346 | 0.6% |
| 170000 | 1324 | 0.6% |
| 100000 | 1279 | 0.5% |
| 120000 | 1184 | 0.5% |
| Other values (35342) | 184482 |
| Value | Count | Frequency (%) |
| 0 | 34721 | |
| 1 | 68 | < 0.1% |
| 2 | 4 | < 0.1% |
| 3 | 3 | < 0.1% |
| 4 | 1 | < 0.1% |
| 5 | 24 | < 0.1% |
| 6 | 13 | < 0.1% |
| 7 | 20 | < 0.1% |
| 8 | 5 | < 0.1% |
| 9 | 14 | < 0.1% |
| Value | Count | Frequency (%) |
| 1000000 | 26 | |
| 999999 | 31 | |
| 995200 | 1 | < 0.1% |
| 993700 | 1 | < 0.1% |
| 990000 | 2 | < 0.1% |
| 989000 | 1 | < 0.1% |
| 985000 | 1 | < 0.1% |
| 977097 | 2 | < 0.1% |
| 955000 | 1 | < 0.1% |
| 949880 | 1 | < 0.1% |
| Distinct | 80 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2010.310059 |
| Minimum | 1904 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 1904 |
|---|---|
| 5-th percentile | 1997 |
| Q1 | 2006 |
| median | 2011 |
| Q3 | 2016 |
| 95-th percentile | 2019 |
| Maximum | 2021 |
| Range | 117 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 7.210750565 |
|---|---|
| Coefficient of variation (CV) | 0.003586884786 |
| Kurtosis | 4.853439223 |
| Mean | 2010.310059 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -1.399192111 |
| Sum | 469240543 |
| Variance | 51.99492371 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2017 | 20680 | 8.9% |
| 2014 | 16447 | 7.0% |
| 2010 | 16301 | 7.0% |
| 2018 | 15530 | 6.7% |
| 2015 | 15055 | 6.4% |
| 2011 | 12535 | 5.4% |
| 2009 | 12420 | 5.3% |
| 2013 | 11226 | 4.8% |
| 2012 | 10862 | 4.7% |
| 2008 | 10412 | 4.5% |
| Other values (70) | 91949 |
| Value | Count | Frequency (%) |
| 1904 | 2 | < 0.1% |
| 1908 | 2 | < 0.1% |
| 1927 | 3 | < 0.1% |
| 1932 | 2 | < 0.1% |
| 1934 | 2 | < 0.1% |
| 1935 | 1 | < 0.1% |
| 1936 | 8 | |
| 1937 | 8 | |
| 1938 | 17 | |
| 1948 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2021 | 627 | 0.3% |
| 2020 | 8352 | |
| 2019 | 7428 | 3.2% |
| 2018 | 15530 | |
| 2017 | 20680 | |
| 2016 | 8451 | |
| 2015 | 15055 | |
| 2014 | 16447 | |
| 2013 | 11226 | |
| 2012 | 10862 |
| Distinct | 1143 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| x_trail | 7783 |
|---|---|
| tiguan | 6234 |
| a6 | 5326 |
| octavia | 5200 |
| outlander | 5128 |
| Other values (1138) |
Length
| Max length | 20 |
|---|---|
| Median length | 5 |
| Mean length | 4.96867409 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 130 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | octavia |
|---|---|
| 2nd row | octavia |
| 3rd row | superb |
| 4th row | octavia |
| 5th row | octavia |
Common Values
| Value | Count | Frequency (%) |
| x_trail | 7783 | 3.3% |
| tiguan | 6234 | 2.7% |
| a6 | 5326 | 2.3% |
| octavia | 5200 | 2.2% |
| outlander | 5128 | 2.2% |
| camry | 4946 | 2.1% |
| 5 | 4742 | 2.0% |
| 3 | 4397 | 1.9% |
| polo | 4365 | 1.9% |
| x5 | 4314 | 1.8% |
| Other values (1133) | 180982 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| x_trail | 7783 | 3.3% |
| tiguan | 6234 | 2.7% |
| a6 | 5326 | 2.3% |
| octavia | 5200 | 2.2% |
| outlander | 5128 | 2.2% |
| camry | 4946 | 2.1% |
| 5 | 4742 | 2.0% |
| 3 | 4397 | 1.9% |
| polo | 4365 | 1.9% |
| x5 | 4314 | 1.8% |
| Other values (1133) | 180982 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 5.0 | |
|---|---|
| 4.0 | |
| 2.0 | 5962 |
| 3.0 | 3967 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 5.0 |
|---|---|
| 2nd row | 5.0 |
| 3rd row | 5.0 |
| 4th row | 5.0 |
| 5th row | 5.0 |
Common Values
| Value | Count | Frequency (%) |
| 5.0 | 145244 | |
| 4.0 | 78244 | |
| 2.0 | 5962 | 2.6% |
| 3.0 | 3967 | 1.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 5.0 | 145244 | |
| 4.0 | 78244 | |
| 2.0 | 5962 | 2.6% |
| 3.0 | 3967 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 81 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2012.531885 |
| Minimum | 1904 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 1904 |
|---|---|
| 5-th percentile | 1999 |
| Q1 | 2008 |
| median | 2013 |
| Q3 | 2018 |
| 95-th percentile | 2021 |
| Maximum | 2021 |
| Range | 117 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.960645197 |
|---|---|
| Coefficient of variation (CV) | 0.003458650891 |
| Kurtosis | 4.225717145 |
| Mean | 2012.531885 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -1.286804337 |
| Sum | 469759155 |
| Variance | 48.45058156 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2021 | 23766 | 10.2% |
| 2020 | 17861 | 7.7% |
| 2018 | 15860 | 6.8% |
| 2013 | 14772 | 6.3% |
| 2012 | 14595 | 6.3% |
| 2011 | 14509 | 6.2% |
| 2014 | 13619 | 5.8% |
| 2008 | 12394 | 5.3% |
| 2016 | 11943 | 5.1% |
| 2017 | 11771 | 5.0% |
| Other values (71) | 82327 |
| Value | Count | Frequency (%) |
| 1904 | 2 | < 0.1% |
| 1923 | 1 | < 0.1% |
| 1924 | 1 | < 0.1% |
| 1927 | 2 | < 0.1% |
| 1931 | 1 | < 0.1% |
| 1932 | 2 | < 0.1% |
| 1936 | 2 | < 0.1% |
| 1937 | 6 | |
| 1938 | 6 | |
| 1939 | 4 |
| Value | Count | Frequency (%) |
| 2021 | 23766 | |
| 2020 | 17861 | |
| 2019 | 9541 | |
| 2018 | 15860 | |
| 2017 | 11771 | |
| 2016 | 11943 | |
| 2015 | 10764 | |
| 2014 | 13619 | |
| 2013 | 14772 | |
| 2012 | 14595 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| automatic | |
|---|---|
| mechanical | |
| variator | |
| robot |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 8.615567846 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | robot |
|---|---|
| 2nd row | mechanical |
| 3rd row | robot |
| 4th row | automatic |
| 5th row | automatic |
Common Values
| Value | Count | Frequency (%) |
| automatic | 132859 | |
| mechanical | 43904 | 18.8% |
| variator | 30993 | 13.3% |
| robot | 25661 | 11.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| automatic | 132859 | |
| mechanical | 43904 | 18.8% |
| variator | 30993 | 13.3% |
| robot | 25661 | 11.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 3.0 | |
|---|---|
| 1.0 | |
| 2.0 | |
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 3.0 | 82971 | |
| 1.0 | 61161 | |
| 2.0 | 54564 | |
| 0.0 | 34721 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3.0 | 82971 | |
| 1.0 | 61161 | |
| 2.0 | 54564 | |
| 0.0 | 34721 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 208644 | |
| 0 | 24773 | 10.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 208644 | |
| 0 | 24773 | 10.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 4wd | |
|---|---|
| fwd | |
| rwd |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | fwd |
|---|---|
| 2nd row | fwd |
| 3rd row | fwd |
| 4th row | fwd |
| 5th row | fwd |
Common Values
| Value | Count | Frequency (%) |
| 4wd | 117210 | |
| fwd | 98007 | |
| rwd | 18200 | 7.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4wd | 117210 | |
| fwd | 98007 | |
| rwd | 18200 | 7.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
steering_wheel_left
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 1 | |
|---|---|
| 0 | 6241 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 227176 | |
| 0 | 6241 | 2.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 227176 | |
| 0 | 6241 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 158018 | |
| 0 | 75399 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 158018 | |
| 0 | 75399 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 15343 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1547263.344 |
| Minimum | 0 |
|---|---|
| Maximum | 99000000 |
| Zeros | 34686 |
| Zeros (%) | 14.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 310000 |
| median | 850000 |
| Q3 | 2000000 |
| 95-th percentile | 5490000 |
| Maximum | 99000000 |
| Range | 99000000 |
| Interquartile range (IQR) | 1690000 |
Descriptive statistics
| Standard deviation | 2057326.115 |
|---|---|
| Coefficient of variation (CV) | 1.329654789 |
| Kurtosis | 63.20704246 |
| Mean | 1547263.344 |
| Median Absolute Deviation (MAD) | 730000 |
| Skewness | 4.209606183 |
| Sum | 3.611575679 × 1011 |
| Variance | 4.232590743 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 34686 | 14.9% |
| 450000 | 1212 | 0.5% |
| 996000 | 1134 | 0.5% |
| 350000 | 1045 | 0.4% |
| 400000 | 1004 | 0.4% |
| 250000 | 994 | 0.4% |
| 680000 | 975 | 0.4% |
| 550000 | 967 | 0.4% |
| 600000 | 963 | 0.4% |
| 650000 | 942 | 0.4% |
| Other values (15333) | 189495 |
| Value | Count | Frequency (%) |
| 0 | 34686 | |
| 16000 | 1 | < 0.1% |
| 18400 | 1 | < 0.1% |
| 20000 | 2 | < 0.1% |
| 21000 | 1 | < 0.1% |
| 23000 | 1 | < 0.1% |
| 24000 | 3 | < 0.1% |
| 25000 | 7 | < 0.1% |
| 28000 | 10 | < 0.1% |
| 29000 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 99000000 | 1 | |
| 68500000 | 1 | |
| 65435792 | 1 | |
| 59087576 | 2 | |
| 58089720 | 2 | |
| 54560408 | 2 | |
| 54057400 | 2 | |
| 52500000 | 1 | |
| 48000000 | 2 | |
| 45000000 | 1 |
data_type
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 2 | |
|---|---|
| 1 | |
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 109764 | |
| 1 | 88967 | |
| 0 | 34686 | 14.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 109764 | |
| 1 | 88967 | |
| 0 | 34686 | 14.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
state_new
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 198696 | |
| 1 | 34721 | 14.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 198696 | |
| 1 | 34721 | 14.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 409 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 191.1406324 |
| Minimum | 11 |
|---|---|
| Maximum | 800 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 90 |
| Q1 | 130 |
| median | 170 |
| Q3 | 240 |
| 95-th percentile | 367 |
| Maximum | 800 |
| Range | 789 |
| Interquartile range (IQR) | 110 |
Descriptive statistics
| Standard deviation | 92.7475183 |
|---|---|
| Coefficient of variation (CV) | 0.4852318271 |
| Kurtosis | 4.270263434 |
| Mean | 191.1406324 |
| Median Absolute Deviation (MAD) | 48 |
| Skewness | 1.776144775 |
| Sum | 44615473 |
| Variance | 8602.102151 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 249 | 17640 | 7.6% |
| 150 | 17078 | 7.3% |
| 190 | 9146 | 3.9% |
| 110 | 6163 | 2.6% |
| 140 | 5307 | 2.3% |
| 170 | 5230 | 2.2% |
| 105 | 5041 | 2.2% |
| 144 | 4522 | 1.9% |
| 180 | 4371 | 1.9% |
| 181 | 4038 | 1.7% |
| Other values (399) | 154881 |
| Value | Count | Frequency (%) |
| 11 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 30 | 2 | < 0.1% |
| 32 | 2 | < 0.1% |
| 38 | 5 | |
| 40 | 6 | |
| 41 | 6 | |
| 42 | 5 | |
| 44 | 5 |
| Value | Count | Frequency (%) |
| 800 | 1 | < 0.1% |
| 761 | 1 | < 0.1% |
| 717 | 3 | < 0.1% |
| 702 | 1 | < 0.1% |
| 700 | 1 | < 0.1% |
| 680 | 1 | < 0.1% |
| 662 | 2 | < 0.1% |
| 646 | 1 | < 0.1% |
| 639 | 10 | |
| 635 | 1 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 177946 | |
| 1.0 | 55471 | 23.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 177946 | |
| 1.0 | 55471 | 23.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 178368 | |
| 0 | 55049 | 23.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 178368 | |
| 0 | 55049 | 23.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0 | |
|---|---|
| 1 | 31 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 233386 | |
| 1 | 31 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 233386 | |
| 1 | 31 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0 | |
|---|---|
| 1 | 12089 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 221328 | |
| 1 | 12089 | 5.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 221328 | |
| 1 | 12089 | 5.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 150005 | |
| 1.0 | 83412 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 150005 | |
| 1.0 | 83412 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 194415 | |
| 0 | 39002 | 16.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 194415 | |
| 0 | 39002 | 16.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| 0 | |
|---|---|
| 1 | 4403 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 229014 | |
| 1 | 4403 | 1.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 229014 | |
| 1 | 4403 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1144 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 134.3498974 |
| Minimum | 0 |
|---|---|
| Maximum | 3506 |
| Zeros | 3307 |
| Zeros (%) | 1.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 28 |
| median | 74 |
| Q3 | 157 |
| 95-th percentile | 555 |
| Maximum | 3506 |
| Range | 3506 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 172.4259998 |
|---|---|
| Coefficient of variation (CV) | 1.283409985 |
| Kurtosis | 7.308393676 |
| Mean | 134.3498974 |
| Median Absolute Deviation (MAD) | 54 |
| Skewness | 2.431216496 |
| Sum | 31359550 |
| Variance | 29730.7254 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 57 | 4377 | 1.9% |
| 10 | 3699 | 1.6% |
| 0 | 3307 | 1.4% |
| 9 | 3209 | 1.4% |
| 99 | 2729 | 1.2% |
| 7 | 2601 | 1.1% |
| 161 | 2505 | 1.1% |
| 56 | 2362 | 1.0% |
| 14 | 2273 | 1.0% |
| 19 | 2213 | 0.9% |
| Other values (1134) | 204142 |
| Value | Count | Frequency (%) |
| 0 | 3307 | |
| 1 | 420 | 0.2% |
| 2 | 1724 | |
| 3 | 1769 | |
| 4 | 1814 | |
| 5 | 2145 | |
| 6 | 2078 | |
| 7 | 2601 | |
| 8 | 2177 | |
| 9 | 3209 |
| Value | Count | Frequency (%) |
| 3506 | 1 | |
| 3398 | 1 | |
| 2362 | 1 | |
| 1701 | 1 | |
| 1632 | 1 | |
| 1619 | 1 | |
| 1617 | 1 | |
| 1613 | 1 | |
| 1598 | 1 | |
| 1560 | 1 |
| Distinct | 21572 |
|---|---|
| Distinct (%) | 9.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12071.67822 |
| Minimum | 0 |
|---|---|
| Maximum | 165667 |
| Zeros | 34743 |
| Zeros (%) | 14.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 7333 |
| median | 12143 |
| Q3 | 16272 |
| 95-th percentile | 25121 |
| Maximum | 165667 |
| Range | 165667 |
| Interquartile range (IQR) | 8939 |
Descriptive statistics
| Standard deviation | 8312.02682 |
|---|---|
| Coefficient of variation (CV) | 0.6885560292 |
| Kurtosis | 6.41765818 |
| Mean | 12071.67822 |
| Median Absolute Deviation (MAD) | 4402 |
| Skewness | 1.163133069 |
| Sum | 2817734915 |
| Variance | 69089789.86 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 34743 | 14.9% |
| 15000 | 1957 | 0.8% |
| 10000 | 1507 | 0.6% |
| 11000 | 1434 | 0.6% |
| 20000 | 1155 | 0.5% |
| 12000 | 1101 | 0.5% |
| 16667 | 1008 | 0.4% |
| 10500 | 964 | 0.4% |
| 14000 | 903 | 0.4% |
| 18000 | 828 | 0.4% |
| Other values (21562) | 187817 |
| Value | Count | Frequency (%) |
| 0 | 34743 | |
| 1 | 54 | < 0.1% |
| 2 | 11 | < 0.1% |
| 3 | 7 | < 0.1% |
| 4 | 5 | < 0.1% |
| 5 | 37 | < 0.1% |
| 6 | 17 | < 0.1% |
| 7 | 26 | < 0.1% |
| 8 | 13 | < 0.1% |
| 9 | 18 | < 0.1% |
| Value | Count | Frequency (%) |
| 165667 | 1 | |
| 164167 | 1 | |
| 160333 | 1 | |
| 129630 | 1 | |
| 126212 | 2 | |
| 123750 | 1 | |
| 111523 | 1 | |
| 110578 | 1 | |
| 110411 | 1 | |
| 101111 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | body_type | brand | color | engine_displacement | engine_type | mileage | model_date | model_name | number_of_doors | year | transmission | owners | vehicle_licence_original | drivetrain | steering_wheel_left | condition_good | price | data_type | state_new | engine_power | warranty | popular_body | rarity_car | old_car | new_car | color_top5 | color_rare | description_count | mil_per_year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | лифтбек | skoda | синий | 1.2 | gasoline | 74000.0 | 2013.0 | octavia | 5.0 | 2014.0 | robot | 3.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 105.0 | 0.0 | 0 | 0 | 0 | 0.0 | 1 | 0 | 98 | 10571.0 |
| 1 | 1 | лифтбек | skoda | чёрный | 1.6 | gasoline | 60563.0 | 2017.0 | octavia | 5.0 | 2017.0 | mechanical | 1.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 110.0 | 0.0 | 0 | 0 | 0 | 1.0 | 1 | 0 | 263 | 15141.0 |
| 2 | 2 | лифтбек | skoda | серый | 1.8 | gasoline | 88000.0 | 2013.0 | superb | 5.0 | 2014.0 | robot | 1.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 152.0 | 0.0 | 0 | 0 | 0 | 0.0 | 1 | 0 | 98 | 12571.0 |
| 3 | 3 | лифтбек | skoda | коричневый | 1.6 | gasoline | 95000.0 | 2013.0 | octavia | 5.0 | 2014.0 | automatic | 1.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 110.0 | 0.0 | 0 | 0 | 0 | 0.0 | 0 | 0 | 170 | 13571.0 |
| 4 | 4 | лифтбек | skoda | белый | 1.8 | gasoline | 58536.0 | 2008.0 | octavia | 5.0 | 2012.0 | automatic | 1.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 152.0 | 0.0 | 0 | 0 | 0 | 0.0 | 1 | 0 | 236 | 6504.0 |
| 5 | 5 | лифтбек | skoda | серый | 2.0 | gasoline | 172000.0 | 2008.0 | octavia_rs | 5.0 | 2012.0 | robot | 3.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 200.0 | 0.0 | 0 | 0 | 0 | 0.0 | 1 | 0 | 43 | 19111.0 |
| 6 | 6 | внедорожник | skoda | пурпурный | 1.8 | gasoline | 107000.0 | 2009.0 | yeti | 5.0 | 2012.0 | robot | 1.0 | 1 | 4wd | 1 | 1 | 0.0 | 0 | 0 | 152.0 | 0.0 | 1 | 0 | 0 | 0.0 | 0 | 0 | 71 | 11889.0 |
| 7 | 7 | лифтбек | skoda | белый | 1.6 | gasoline | 226706.0 | 2008.0 | octavia | 5.0 | 2011.0 | mechanical | 3.0 | 1 | fwd | 1 | 1 | 0.0 | 0 | 0 | 102.0 | 0.0 | 0 | 0 | 0 | 0.0 | 1 | 0 | 222 | 22671.0 |
| 8 | 8 | внедорожник | skoda | бежевый | 1.4 | gasoline | 9706.0 | 2016.0 | kodiaq | 5.0 | 2019.0 | mechanical | 1.0 | 1 | 4wd | 1 | 1 | 0.0 | 0 | 0 | 150.0 | 1.0 | 1 | 0 | 0 | 1.0 | 0 | 0 | 273 | 4853.0 |
| 9 | 9 | внедорожник | skoda | белый | 1.8 | gasoline | 37361.0 | 2009.0 | yeti | 5.0 | 2012.0 | mechanical | 1.0 | 1 | 4wd | 1 | 1 | 0.0 | 0 | 0 | 152.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 226 | 4151.0 |
Last rows
| df_index | body_type | brand | color | engine_displacement | engine_type | mileage | model_date | model_name | number_of_doors | year | transmission | owners | vehicle_licence_original | drivetrain | steering_wheel_left | condition_good | price | data_type | state_new | engine_power | warranty | popular_body | rarity_car | old_car | new_car | color_top5 | color_rare | description_count | mil_per_year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 233407 | 254253 | седан | mitsubishi | синий | 2.4 | gasoline | 200000.0 | 1998.0 | galant | 4.0 | 2003.0 | automatic | 3.0 | 1 | fwd | 1 | 1 | 136000.0 | 2 | 0 | 144.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 43 | 10526.0 |
| 233408 | 254254 | внедорожник | mitsubishi | синий | 1.8 | gasoline | 100824.0 | 2012.0 | asx | 5.0 | 2014.0 | variator | 1.0 | 0 | fwd | 1 | 1 | 959200.0 | 2 | 0 | 140.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 93 | 12603.0 |
| 233409 | 254255 | внедорожник | mitsubishi | серебристый | 2.4 | diesel | 50403.0 | 2015.0 | pajero_sport | 5.0 | 2018.0 | automatic | 1.0 | 1 | 4wd | 1 | 1 | 2114400.0 | 2 | 0 | 181.0 | 0.0 | 1 | 0 | 0 | 1.0 | 1 | 0 | 131 | 12601.0 |
| 233410 | 254256 | внедорожник | mitsubishi | синий | 2.0 | gasoline | 0.0 | 2018.0 | outlander | 5.0 | 2021.0 | variator | 0.0 | 1 | 4wd | 1 | 1 | 1641600.0 | 2 | 1 | 146.0 | 1.0 | 1 | 0 | 0 | 1.0 | 1 | 0 | 556 | 0.0 |
| 233411 | 254257 | внедорожник | mitsubishi | серебристый | 3.0 | gasoline | 168153.0 | 2006.0 | pajero | 5.0 | 2007.0 | automatic | 3.0 | 1 | 4wd | 1 | 1 | 1076000.0 | 2 | 0 | 178.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 57 | 11210.0 |
| 233412 | 254258 | седан | mitsubishi | чёрный | 2.0 | gasoline | 241800.0 | 2007.0 | lancer | 4.0 | 2007.0 | mechanical | 3.0 | 1 | fwd | 1 | 1 | 420000.0 | 2 | 0 | 150.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 137 | 16120.0 |
| 233413 | 254259 | внедорожник | mitsubishi | серебристый | 2.4 | gasoline | 265000.0 | 2014.0 | outlander | 5.0 | 2014.0 | variator | 2.0 | 1 | 4wd | 1 | 1 | 956400.0 | 2 | 0 | 167.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 42 | 33125.0 |
| 233414 | 254260 | внедорожник | mitsubishi | белый | 2.0 | gasoline | 0.0 | 2018.0 | outlander | 5.0 | 2021.0 | variator | 0.0 | 1 | 4wd | 1 | 1 | 1631340.0 | 2 | 1 | 146.0 | 1.0 | 1 | 0 | 0 | 1.0 | 1 | 0 | 485 | 0.0 |
| 233415 | 254261 | внедорожник | mitsubishi | синий | 2.4 | gasoline | 128000.0 | 2009.0 | outlander | 5.0 | 2011.0 | variator | 1.0 | 1 | 4wd | 1 | 1 | 782400.0 | 2 | 0 | 170.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 141 | 11636.0 |
| 233416 | 254262 | седан | mitsubishi | серебристый | 1.6 | gasoline | 70643.0 | 2011.0 | lancer | 4.0 | 2014.0 | mechanical | 1.0 | 1 | fwd | 1 | 1 | 700400.0 | 2 | 0 | 117.0 | 0.0 | 1 | 0 | 0 | 0.0 | 1 | 0 | 42 | 8830.0 |